Towards Automated Worst-Case Analysis of Circuits: Selecting Initial Values for Global Optimization
Date
Type
könyvfejezet
Language
en
Reading access rights:
Open access
Rights Holder
Szerző
Conference Date
2023.02.06-2023.02.07.
Conference Place
Budapest
Conference Title
30th Minisymposium of the Department of Measurement and Information Systems
ISBN, e-ISBN
978-963-421-904-0
Container Title
Proceedings of the 30th Minisymposium
Department
Department of Measurement and Information Systems
Version
Post print
Faculty
Faculty of Electrical Engineering and Informatics
First Page
5
Subject (OSZKAR)
worst-case circuit analysis
numerical optimization
initial values
numerical optimization
initial values
Gender
Konferenciacikk
University
Budapest University of Technology and Economics
- Cite this item
- https://doi.org/10.3311/minisy2023-002
OOC works
Abstract
Worst-case circuit analysis is a mandatory practice in hardware verification and validation. To this end, several methods, including extreme value analysis (EVA) and Monte Carlo analysis are commonly used, however, each has its own limitations. Numerical optimization-based methods have the potential to be generally usable, but have the tendency to get stuck in a local minimum, which can be mitigated using carefully chosen initial values. In this paper we propose methods for automated initial value selection for black-box circuit models. The methods are demonstrated to work on several standard test functions, which is a first step in building an automated worst-case circuit analysis tool.